Data Engineer

7/2021 – 2/2023

Mentoring and guiding the Operations global analytic team (about 45 team member) how
to build proper data layer. Together with our data engineering team, we transform our
way to consume data. We want to offer our stakeholder the opportunity to have managed
Self Service BI in near real time. This include consuming event data, arranging it multiple
data layer (Data Lake) and preparing it for consumption in the BI tool. The technology
stack include several services of Google Cloud Platform such Bigquery, Airflow and
DataFlow.

Big Data, Google Cloud

11/2016 – 6/2021

Managing a team of professional five data and DWH engineers responsible for the
following tasks:
• Creating enterprise Data Warehouse on Snowflake which is based on Data Vault
architecture.
• Enterprise Event Service Bus on AWS (MSK + Nakadi)
• Data Lake on AWS

Data Vault, ETL, Amazon Web Services (AWS)

3/2014 – 10/2016

• Handling web-tracking data such as clicks and visits.
• Developing applications using Big Data tools such Hive and Spark.
• Developing BI/DWH models on Oracle and Exasol databases that allow end users to
build BI reports on the aggregated marketing KPIs
• Building and supporting BI reporting tools like Business Objects and Micro-strategy.

Data Warehousing, Exasol, Amazon Web Services (AWS)